Senior AI Engineer – AI & Credit Analytics

Experian

Senior AI Engineer developing scalable AI systems that automate credit analytics at Experian. Collaborating with analytics and engineering teams on advanced AI solutions.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $133,109 - $239,596 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI systemscredit analyticscredit decisioningmachine learningGenerative AILLMOpsPythonSQLmodel validationdata governance

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingattention to detailadaptabilityleadershiporganizational skillscritical thinkingcreativity

Tools & Technologies

AWSLangGraphCI/CD pipelinesobservability toolsorchestration frameworksground-truth datasetsevaluation frameworksmonitoring toolsproduction environmentsdata management systems

Certifications & Qualifications

Master's degree in Computer ScienceMaster's degree in Data Sciencerelated quantitative field

Industry Keywords

financial servicescreditlendingrisk managementanalytics-driven decisioningregulated environmentsmodel risk managementregulatory complianceresponsible AI practicesproduction-grade systems

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows
Develop and integrate AI solutions across the credit lifecycle, including origination, underwriting, limit setting, portfolio monitoring, and model validation
Develop evaluation and guardrail frameworks to ensure response accuracy, reduce hallucinations, and support human-in-the-loop review, including offline testing with ground-truth datasets
Develop and operate enterprise-grade AI services with a focus on scalability, security, reliability, performance, and latency optimization
Implement LLMOps and GenAI operational practices, including prompt management, model versioning, monitoring, CI/CD pipelines, and observability for cost, latency, and response quality
Partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI-driven capabilities across the organization
Evaluate and adopt modern orchestration frameworks and cloud-native AI tools (such as LangGraph and AWS-based services), while staying current with new AI system design patterns

Requirements

What you’ll need

Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience
8+ years of professional experience in data science, machine learning, or AI engineering to build and operate production-grade AI, ML, or Generative AI systems
Domain experience in financial services, with exposure to credit, lending, risk, or analytics-driven decisioning environments
Experience working in regulated or governed environments, with understanding of data governance, model risk management, regulatory compliance, and responsible AI practices
Hands-on experience developing Generative AI and LLM-based applications, including retrieval-augmented generation (RAG), prompt design, evaluation methods, and system optimization in production environments
Proficiency in Python (required) and SQL
Familiarity with modern Generative AI frameworks

Benefits

Comp & perks

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays